How Is Trust Towards Technology Characterised by Users

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How Is Trust Towards Technology Characterised by Users

My research focuses on how to calibrate trust between human users and artificial intelligent systems. Optimal calibration of trust occurs when the trust from human users accurately reflects the performance of the system so that the user does not mistrust a faulty system, nor do they distrust a well-functioning system. While users primarily base their…

How Can Computer Vision be Used to Geolocate Images of Indoor Spaces?

The project involves developing a robust and interpretable deep learning technique for analyzing indoor images and other data related to human trafficking. The methods and tools will be created in collaboration with Qumodo Ltd and evaluated with their end-users.

Social Intelligence towards Human-AI Team building

Visions of the workplace-of-the-future include applications of machine learning and artificial intelligence embedded in nearly every aspect (Brynjolfsson & Mitchell, 2017). This “digital transformation” holds promise to broadly increase effectiveness and efficiency. A challenge to realising this transformation is that the workplace is substantially a human social environment and machines are not intrinsically social. Imbuing…

Face Matching Within Human-AI Teams

Face matching is used in a variety of settings which involves the verification of a person’s identity. Despite being widely used, it is a surprisingly error-prone task. There have been major gains in the accuracy of automated facial recognition algorithms and research has found that fusing algorithm scores with the ratings made by humans can…